Evidence map›Paper›PMID 39289668›Full record

ArticleBMC psychiatry2024

Adolescent anxiety and depression: perspectives of network analysis and longitudinal network analysis.

Dongyu Liu, Meishuo Yu, Xinyu Zhang, Jingjing Cui, Haibo Yang

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Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Comparing Depression and Anxiety Symptom Networks in Chinese Students and Teachers.International journal of psychology : Journal international de psychologie · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Dongyu LiuFaculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
Meishuo YuSchool of Psychology, Capital Normal University, Beijing, 100048, China.
Xinyu ZhangFaculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
Jingjing CuiFaculty of Psychology, Tianjin Normal University, Tianjin, 300387, China.
Haibo YangFaculty of Psychology, Tianjin Normal University, Tianjin, 300387, China. yanghaibo@tjnu.edu.cn.

Funding

National Natural Science Foundation of China 32271140Tianjin Normal University Graduate Research Innovation Project 2024KYCX006Z
6 · The paper itself

Abstract

backgroundAnxiety and depression often co-occur, exhibiting high comorbidity, with their trends evolving over time. However, the specific pathways through which comorbid symptoms of anxiety and depression evolve and interact remain unclear. To investigate these questions, this study employed Network Analysis (NA) and Longitudinal Network Analysis (LNA) to explore the central symptoms of anxiety and depression, as well as the temporal evolution of these central symptoms.

methodsThe study focused on 606 high school students who were not in their final year in Shandong of China, with assessments conducted from March to September 2022. The bootnet package in R was used for establishing NA and LNA models, as well as for conducting accuracy analysis and node stability analysis.

resultsThe results of the NA indicated that adolescent highly susceptible to anxiety and depression. And uncontrollable worry was a common central symptom, while irritability emerged as a central bridging symptom across all three NAs. The LNA results revealed that suicidal ideation and worthlessness were key central symptoms in the LNA. Furthermore, worthlessness played a pivotal role in the developmental pathway of "suicidal ideation → worthlessness → anxiety and uncontrollable worry." A reduction in suicidal ideation was associated with decreased severity in other symptoms.

conclusionsThe findings suggest that adolescent anxiety and depression are in a state of vulnerability, and that irritability, worthlessness, and suicidal ideation are potential targets for interventions to address adolescent anxiety and depression.

Indexed as

AnxietyDepressionAdolescentChinaComorbidityFemaleHumansLongitudinal StudiesMaleSuicidal IdeationAnxietyDepressionLongitudinal network analysisNetwork analysis

Identifiers

PMID39289668
PMCPMC11406876

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.